Evidence map›Paper›PMID 31120896›Full record

ArticlePloS one2019

Proof of principle: Preoperative cognitive reserve and brain integrity predicts intra-individual variability in processed EEG (Bispectral Index Monitor) during general anesthesia.

Carlos Hernaiz Alonso, Jared J Tanner, Margaret E Wiggins, Preeti Sinha, Hari K Parvataneni, Mingzhou Ding, Christoph N Seubert, Mark J Rice, Cynthia W Garvan, Catherine C Price

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06490588 (The Use of Sevoflurane to Test the Concept of Intra-individual Variability in Bispectral Index Monitor and Cognitive Reserve by Examining Time to Emergence and Recovery), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06490588 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

The Use of Sevoflurane to Test the Concept of Intra-individual Variability in Bispectral Index Monitor and Cognitive Reserve by Examining Time to Emergence and Recovery

TypeobservationalSponsorLos Angeles General Medical CenterRan2024 to 2026Enrolled70ConditionsCognitive Reserve, BISArmssevoflurane
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Electroencephalography, Magnetoencephalography, and Cognitive Reserve: A Systematic Review.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2021
    Pooled it
  2. A Real-Time Neurophysiologic Stress Test for the Aging Brain: Novel Perioperative and ICU Applications of EEG in Older Surgical Patients.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Review
  3. Article
  4. The New Frontier of Perioperative Cognitive Medicine for Alzheimer's Disease and Related Dementias.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Carlos Hernaiz AlonsoDepartment of Clinical and Health Psychology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, United States of America.
Jared J TannerDepartment of Clinical and Health Psychology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, United States of America.
Margaret E WigginsDepartment of Clinical and Health Psychology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, United States of America.
Preeti SinhaDepartment of Clinical and Health Psychology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, United States of America.
Hari K ParvataneniDepartment of Orthopedic Surgery, University of Florida College of Medicine; Gainesville, Florida, United States of America.
Mingzhou DingDepartment of Biomedical Engineering, University of Florida Herbert Wertheim College of Engineering, Gainesville, Florida, United States of America.
Christoph N SeubertDepartment of Anesthesiology, University of Florida, Gainesville, Florida, United States of America.
Mark J RiceDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Cynthia W GarvanDepartment of Anesthesiology, University of Florida, Gainesville, Florida, United States of America.
Catherine C PriceDepartment of Clinical and Health Psychology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, United States of America.
University of Florida · USFlorida College · USVanderbilt University Medical Center · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
University of Florida - Mt. Sinai Medical Center AD Research CenterP50AG047266 · NIA · UNIVERSITY OF FLORIDA · PI BORCHELT, DAVID R · 2015 to 2019
$7.3M
Together: Transforming and Translating Discovery to Improve HealthKL2TR001429 · NCATS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W, LEEUWENBURGH, CHRISTIAAN · 2015 to 2023
$5.5M
Together: Transforming and Translating Discovery to Improve HealthTL1TR001428 · NCATS · UNIVERSITY OF FLORIDA · PI MCCORMACK, WAYNE T. · 2015 to 2023
$3.9M
White Matter Connectivity and PD Cognitive PhenotypesR01NS082386 · NINDS · UNIVERSITY OF FLORIDA · PI PRICE, CATHERINE E · 2013 to 2017
$2.3M
Neuroimaging Biomarkers for Post-Operative Cognitive Decline in Older AdultsR01NR014181 · NINR · UNIVERSITY OF FLORIDA · PI PRICE, CATHERINE E · 2012 to 2016
$2.3M
INDO - US TRAINING PROGRAM IN BEHAVIORAL HEALTH ACROSS THE LIFESPAND43TW009120 · FIC · UNIVERSITY OF FLORIDA · PI COTTLER, LINDA B. · 2011 to 2015
$1.1M
FIC NIH HHS D43 TW009120NCATS NIH HHS KL2 TR001429NCATS NIH HHS TL1 TR001428NCATS NIH HHS UL1 TR001427NIA NIH HHS P50 AG047266NINDS NIH HHS R01 NS082386NINR NIH HHS R01 NR014181
6 · The paper itself

Abstract

backgroundPreoperative cognitive reserve and brain integrity may explain commonly observed intraoperative fluctuations seen on a standard anesthesia depth monitor used ubiquitously in operating rooms throughout the nation. Neurophysiological variability indicates compromised regulation and organization of neural networks. Based on theories of neuronal integrity changes that accompany aging, we assessed the relative contribution of: 1) premorbid cognitive reserve, 2) current brain integrity (gray and white matter markers of neurodegenerative disease), and 3) current cognition (specifically domains of processing speed/working memory, episodic memory, and motor function) on intraoperative neurophysiological variability as measured from a common intraoperative tool, the Bispectral Index Monitor (BIS).

methodsThis sub-study included participants from a parent study of non-demented older adults electing unilateral Total Knee Arthroplasty (TKA) with the same surgeon and anesthesia protocol, who also completed a preoperative neuropsychological assessment and preoperative 3T brain magnetic resonance imaging scan. Left frontal two-channel derived EEG via the BIS was acquired preoperatively (un-medicated and awake) and continuously intraoperatively with time from tourniquet up to tourniquet down. Data analyses used correlation and regression modeling.

resultsFifty-four participants met inclusion criteria for the sub-study. The mean (SD) age was 69.5 (7.4) years, 54% were male, 89% were white, and the mean (SD) American Society of Anesthesiologists score was 2.76 (0.47). We confirmed that brain integrity positively and significantly associated with each of the cognitive domains of interest. EEG intra-individual variability (squared deviation from the mean BIS value between tourniquet up and down) was significantly correlated with cognitive reserve (r = -.40, p = .003), brain integrity (r = -.37, p = .007), and a domain of processing speed/working memory (termed cognitive efficiency; r = -.31, p = .021). Hierarchical regression models that sequentially included age, propofol bolus dose, cognitive reserve, brain integrity, and cognitive efficiency found that intraoperative propofol bolus dose (p = .001), premorbid cognitive reserve (p = .008), and current brain integrity (p = .004) explained a significant portion of intraoperative intra-individual variability from the BIS monitor.

conclusionsOlder adults with higher premorbid reserve and less brain disease were more stable intraoperatively on a depth of anesthesia monitor. Researchers need to replicate findings within larger cohorts and other surgery types.

Indexed as

AgedAnesthesia, GeneralBiological Variation, IndividualBiomarkersBrainCognitionCognitive ReserveConsciousness MonitorsElectroencephalographyFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-TermNeurodegenerative DiseasesNeuropsychological TestsBiomarkersPropofol

Identifiers

PMID31120896
PMCPMC6532861
OpenAlexW2944927676

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.